Label-Free Infrared Spectral Histology of Skin Tissue Part II: Impact of a Lumican-Derived Peptide on Melanoma Growth

Brézillon, Stéphane; Untereiner, Valérie; Mohamed, Hossam Taha; Ahallal, Estelle; Proult, Isabelle; Nizet, Pierre; Boulagnon‐Rombi, Camille; Sockalingum, Ganesh D.

doi:10.3389/fcell.2020.00377

Cited by 12 publications

(15 citation statements)

References 67 publications

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“…Lumican (LUM) and Asporin (ASPN) belong to the small leucine-rich proteoglycan (SLRP) family consisting of a core protein with leucine-rich repeats and one or more attached glycosaminoglycan chains, which are considered to control the assembly of collagen fibers in the ECM. [23][24][25] LUM is an ECM localized proteoglycan associated with inflammatory conditions and known to bind collagens. 26,27 Previous study has indicated that LUM protein and mRNA levels are increased in cardiac tissues of patients and mice with HF compared with control hearts.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Cao¹,

Liu²,

Liu³

et al. 2021

IJGM

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Purpose Ischemic cardiomyopathy (ICM) is considered to be the most common cause of heart failure, with high prevalence and mortality. This study aimed to investigate the different expressed genes (DEGs) and pathways in the pathogenesis of ICM using bioinformatics analysis. Methods The control and ICM datasets GSE116250, GSE46224 and GSE5406 were collected from the gene expression omnibus (GEO) database. DEGs were identified using limma package of R software, and co-expressed genes were identified using Venn diagrams. Then, the gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explore the biological functions and signaling pathways. Protein–protein interaction (PPI) networks were assembled with Cytoscape software to identify hub genes related to the pathogenesis of ICM. RT-PCR of Heart tissues (n=2 for non-failing controls and n=4 for ischemic cardiomyopathy patients) was used to validate the bioinformatic results. Results A total of 844 DEGs were screened from GSE116250, of which 447 were up-regulated genes and 397 were down-regulated genes, respectively. A total of 99 DEGs were singled out from GSE46224, of which 58 were up-regulated genes and 41 were down-regulated genes, respectively. Thirty DEGs were screened from GSE5406, including 10 genes with up-regulated expression and 20 genes with down-regulated expression. Five up-regulated and 3 down-regulated co-expressed DEGs were intersected in three datasets. GO and KEGG pathway analyses revealed that DEGs are mainly enriched in collagen fibril organization, protein digestion and absorption, AGE-RAGE signaling pathway and other related pathways. Collagen alpha-1(III) chain (COL3A1), collagen alpha-2(I) chain (COL1A2) and lumican (LUM) are the three hub genes in all three datasets through PPI network analysis. The expression of 5 DEGs (SERPINA3, FCN3, COL3A1, HBB, MXRA5) in heart tissues by qRT-PCR results was consistent with our GEO analysis, while expression of 3 DEGs (ASPN, LUM, COL1A2) was opposite with GEO analysis. Conclusion These findings from this bioinformatics network analysis investigated key hub genes, which contributed to better understanding the mechanism and new therapeutic targets of ICM.

show abstract

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Cao¹,

Liu²,

Liu³

et al. 2021

IJGM

View full text Add to dashboard Cite

show abstract

“…Lumican (LUM) and Asporin (ASPN) belong to the small leucine-rich proteoglycans (SLRP) family consisting of a core protein with leucine-rich repeats and one or more attached glycosaminoglycan chains, which are considered to control the assembly of collagen bers in the ECM (23)(24)(25). LUM is an ECM localized proteoglycan associated with in ammatory conditions and known to bind collagens (26,27).…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Cao

Liu

et al. 2021

Preprint

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BackgroundIschemic cardiomyopathy (ICM) is considered to be the common cause of heart failure, which has high prevalence and mortality. This study aimed to investigate the different expressed genes (DEGs) and pathways in the pathogenesis of ICM using bioinformatics analysis.MethodsThe control and ICM datasets GSE116250，GSE46224 and GSE5406 were collected from the gene expression omnibus (GEO) database. DEGs were identified using limma package of R software and co-expressed genes were identified with Venn diagrams. Then, the gene otology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed to explored the biological functions and signaling pathways. Protein-protein interaction (PPI) networks were assembled with Cytoscape software to identify hub genes related to the pathogenesis of ICM.ResultsA total of 844 DEGs were screened from GSE116250, of which 447 up-regulated and 397 down-regulated genes respectively. A total of 99 DEGs were singled out from GSE46224, of which 58 up-regulated and 41 down-regulated genes respectively. 30 DEGs were screened from GSE5406, including 10 genes with up-regulated expression and 20 genes with down-regulated expression. 5 up-regulated and 3 down-regulated co-expressed DEGs were intersected in three datasets. GO and KEGG pathway analyses revealed that DEGs mainly enriched in collagen fibril organization, protein digestion and absorption, AGE-RAGE signaling pathway and other related pathways. Collagen alpha-1(III) chain (COL3A1), collagen alpha-2(I) chain (COL1A2) and lumican (LUM) are the three hub genes in all three datasets through PPI network analysis. The expression of 5 DEGs (SERPINA3, FCN3, COL3A1, HBB, MXRA5) in heart tissues by qRT-PCR results were consistent with our GEO analysis, while expression of 3 DEGs (ASPN, LUM, COL1A2) were opposite with GEO analysis.ConclusionsThese findings from this bioinformatics network analysis investigated key hub genes, which contributed to better understand the mechanism and new therapeutic targets of ICM.

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“…Indeed, Jeanne et al identified lumican as an essential regulator of the tumor matrix structure and function [ 68 ]. Recently, in a mouse model of primary melanoma, the lumican-derived L9Mc peptide abrogated the growth and increased the apoptosis of B16F1 cells, as determined by infrared spectral imaging and histopathology [ 71 ].…”

Section: Lumican Structure Function and Expression-correlation With Carcinogenesismentioning

confidence: 99%

“…Thus, B16F1 cells transfected to overexpress lumican present an initiation and/or increase ofapoptosis [ 97 ]. Moreover, in a mouse model of B16F1 melanoma primary tumor growth, lumican treatment with the L9Mc peptide increased cancer cell apoptosis [ 71 ].…”

Section: Lumican At the Crossroad Between Apoptosis And Autophagymentioning

confidence: 99%

Lumican in Carcinogenesis—Revisited

et al. 2021

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Carcinogenesis is a multifactorial process with the input and interactions of environmental, genetic, and metabolic factors. During cancer development, a significant remodeling of the extracellular matrix (ECM) is evident. Proteoglycans (PGs), such as lumican, are glycosylated proteins that participate in the formation of the ECM and are established biological mediators. Notably, lumican is involved in cellular processes associated with tumorigeneses, such as EMT (epithelial-to-mesenchymal transition), cellular proliferation, migration, invasion, and adhesion. Furthermore, lumican is expressed in various cancer tissues and is reported to have a positive or negative correlation with tumor progression. This review focuses on significant advances achieved regardingthe role of lumican in the tumor biology. Here, the effects of lumican on cancer cell growth, invasion, motility, and metastasis are discussed, as well as the repercussions on autophagy and apoptosis. Finally, in light of the available data, novel roles for lumican as a cancer prognosis marker,chemoresistance regulator, and cancer therapy target are proposed.

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Label-Free Infrared Spectral Histology of Skin Tissue Part II: Impact of a Lumican-Derived Peptide on Melanoma Growth

Cited by 12 publications

References 67 publications

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Bioinformatics Analysis and Identification of Genes and Pathways in Ischemic Cardiomyopathy

Lumican in Carcinogenesis—Revisited

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